• Develop, design, and sustain scalable data pipelines and infrastructure to support business objectives.
• Collaborate effectively with data scientists and analysts to grasp data requirements and deliver user-friendly data solutions.
• Enhance and optimize existing data architectures and flows to boost overall performance.
• Execute and oversee ETL processes to guarantee data integrity and maintain high quality.
• Create comprehensive documentation for data models, data flow diagrams, and system processes.
• Keep abreast of the latest technologies and advancements in the data engineering sector.
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 2+ years of experience in Data Engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with database technologies, including SQL and NoSQL, such as MySQL, PostgreSQL, or MongoDB.
• Familiarity with cloud technologies and platforms (e.g., AWS, Azure, Google Cloud).
• Strong problem-solving skills and ability to work collaboratively in a team environment.